DEVELOPMENT... OpenML
Run
129683

Run 129683

Task 3774 (Supervised Classification) fri_c2_250_5 Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_OneR(2)_I40
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.8969
Per class
Build CPU time
0.0306
Build memory
1002564821.6
F measure
0.8717
Per class
Kappa
0.7392
KB relative information score
181.4355
Mean absolute error
0.1358
Mean prior absolute error
0.4929
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8719
Per class
Predictive accuracy
0.872
Prior entropy
0.9898
Recall
0.872
Per class
Relative absolute error
0.2756
Root mean prior squared error
0.4964
Root mean squared error
0.3536
Root relative squared error
0.7124
SciMark benchmark
916.8903